Applied Generative AI and Coding Workshop by Tonex
This 2-day workshop is designed to provide participants with an in-depth understanding of how generative AI can be applied to coding and software development. Through interactive sessions, hands-on exercises, and collaborative discussions, attendees will explore AI-driven solutions for code generation, debugging, optimization, and more. The workshop aims to equip software developers and engineers with the skills and knowledge to leverage AI technologies to enhance their coding practices and overall software development process.
Learning Objectives
- Understand Generative AI in Coding: Gain a comprehensive understanding of generative AI technologies and their applications in coding and software development.
- AI-driven Code Generation: Learn how to use AI tools for generating, completing, and refactoring code.
- Debugging and Optimization: Explore AI techniques for identifying bugs and optimizing code performance.
- Enhanced Development Practices: Improve software development workflows using AI-driven insights and tools.
- Practical Implementation: Engage in hands-on exercises to apply AI tools in real-world coding scenarios.
Audience
This workshop is ideal for:
- Software developers and engineers looking to integrate AI into their coding practices.
- IT professionals and data scientists involved in software development.
- Project managers and team leaders overseeing software development projects.
- Researchers and academics interested in the intersection of AI and software engineering.
- Anyone with a background in coding seeking to enhance their understanding of AI applications.
Program Details
Day 1:
- Introduction to Generative AI and Coding
- Overview of generative AI technologies
- Introduction to coding principles and practices
- Synergy between AI and software development
- AI-Driven Code Generation and Refactoring
- Techniques for AI integration in code generation
- Case studies of AI-enhanced coding practices
- Tools and frameworks for AI-driven code development
- Hands-on Session: Generative AI Tools for Coding
- Practical exercises using AI tools for code generation
- Creating and evaluating AI models for software applications
- Refactoring and optimizing code using AI
- Case Study Analysis: Real-world Applications
- In-depth analysis of successful AI implementations in coding
- Discussion of challenges and solutions
- Extracting best practices and lessons learned
Day 2:
- Advanced Techniques for AI-Enhanced Software Development
- AI methodologies for debugging and error detection
- Application of machine learning in code optimization
- Real-time monitoring and predictive maintenance using AI
- Lifecycle Management with AI
- Role of AI in the software development lifecycle
- Predictive analytics for lifecycle planning
- AI in maintenance and sustainability of software projects
- Interactive Q&A Session
- Open floor discussion with AI and software development experts
- Addressing specific participant questions and scenarios
- Collaborative problem-solving and idea exchange
- Ethical and Responsible AI Use in Coding
- Understanding AI ethics in software development contexts
- Strategies for mitigating biases and ensuring ethical AI deployment
- Governance frameworks for responsible AI use
- Future Trends in Generative AI and Software Development
- Exploring upcoming advancements in AI technologies
- Preparing for future AI innovations in software development
- Strategic planning for long-term AI integration
- Final Project: AI-Enhanced Coding Plan
- Developing a comprehensive plan for integrating AI in coding practices
- Group presentations and peer feedback
- Actionable steps for post-workshop implementation